Repository Index

Convolutional Neural Networks

Graph Neural Network Library for PyTorch

• pytorch
• geometric-deep-learning
• graph-neural-networks
• deep-learning

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

• mnn
• convolution
• vulkan
• embedded-devices

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

• neural-network
• brain
• recurrent-neural-networks
• easy-to-use

A MNIST-like fashion product database. Benchmark :point_down:

• mnist
• deep-learning
• benchmark
• machine-learning

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

• attention
• pytorch
• paper
• cbam

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

• segmentation
• image-processing
• pspnet
• unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

• pytorch
• unet
• pytorch-unet
• semantic-segmentation

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

• inpainting
• inpainting-methods
• inpainting-algorithm
• computer-vision

Learning Convolutional Neural Networks with Interactive Visualization.

• deep-learning
• visualization
• interactive-visualizations
• visual-learning

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

• tensorflow
• graph
• darknet
• deep-learning

Convolutional Neural Network for Text Classification in Tensorflow

A simple, fully convolutional model for real-time instance segmentation.

• realtime
• real-time
• instance-segmentation
• yolact

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

• onednn
• oneapi
• performance
• cpp

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

A best practice for tensorflow project template architecture.

• tesnorflow
• software-engineering
• oop
• deep-learning

TensorFlow (Python API) implementation of Neural Style

• style-transfer
• tensorflow
• convolutional-neural-network
• deep-learning

StellarGraph - Machine Learning on Graphs

• graphs
• machine-learning
• machine-learning-algorithms
• graph-convolutional-networks

R-CNN: Regions with Convolutional Neural Network Features

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

• deep-learning
• computer-vision
• speech-recognition
• 3d-convolutional-network

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

• convolutional-neural-networks
• motion-tracking
• color-detection
• face-detection

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

• machine-learning
• neural-networks
• metal
• apple

Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library

• vulkan
• fft
• convolution
• r2c